Research Article Factors Associated with Cardiorespiratory Fitness in a Swiss Working Population Sara Kind, 1 Stefanie Brighenti-Zogg, 1 Jonas Mundwiler, 1 Ulla Schüpbach, 2 Jörg D. Leuppi , 1,3 David Miedinger, 1,3 and Thomas Dieterle 1,3 1 University Clinic of Medicine, Cantonal Hospital Baselland, Liestal, CH, Switzerland 2 University Department of Radio-Oncology, lnselspital, Bern University Hospital, Bern, CH, Switzerland 3 Faculty of Medicine, University of Basel, Basel, CH, Switzerland Correspondence should be addressed to Tomas Dieterle; thomas.dieterle@ksbl.ch Received 23 January 2019; Accepted 11 March 2019; Published 2 July 2019 Academic Editor: Mark Willems Copyright © 2019 Sara Kind et al. Tis is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Background. Good cardiorespiratory ftness (high VO 2max ) has benefcial efects on morbidity and mortality. Terefore, a tool to estimate VO 2max in daily clinical practice is of great value for preventing chronic diseases in healthy adults. Tis study aimed at exploring the cardiometabolic profle in a representative Swiss working population. Based on these insights, a regression model was derived revealing factors associated with VO 2max . Methods. Cross-sectional data of 337 healthy and full-time employed adults recruited in the Basel region, Switzerland, were collected. Anthropometric measurements to compute body mass index (BMI) and waist circumference (WC) were performed. A 20-meter shuttle run test was conducted to determine individual VO 2max . Heart rate (HR) was measured at rest, during maximal exertion, and two minutes afer exercise. Systolic (SBP) and diastolic blood pressure (DBP) were assessed at rest and afer exercise. A multiple linear regression model was built to identify a set of nonexercise predictor variables of VO 2max . Results. Complete data of 303 individuals (63% male) aged 18 to 61 years (mean 33 ± 12 years) were considered for analysis. Te regression model (adjusted R 2 = 0.647, SE = 5.3) identifed sex ( = -0.699, p < 0.001), WC ( = -0.403, p < 0.001), diference of maximal to resting HR ( = 0.234, p < 0.001), smoking ( = -0.171, p < 0.001), and age ( = -0.131, p < 0.01) as the most important factors associated with VO 2max , while BMI, SBP, and DBP did not contribute to the regression model. Conclusions. Tis study introduced a simple model to evaluate VO 2max based on nonexercise parameters as part of daily clinical routine without needing a time-consuming, cost-intense, and physically demanding direct assessment of VO 2max . Knowledge about VO 2max may help identifying individuals at increased cardiovascular risk and may provide the basis for health counselling and tailoring preventive measures. 1. Introduction Physical inactivity is rising on a global scale, thus yielding dramatic consequences for the general health of the pop- ulation and representing a huge burden to the healthcare systems [1]. According to the World Health Organization (WHO), inactive individuals have higher levels of body fat and are at higher risk for cardiovascular (CV) disease compared to regularly active persons [1]. Physical inactivity is estimated to be the fourth leading risk factor for mortality worldwide [1]. Nevertheless, previous studies indicated that cardiorespiratory ftness measured as maximal oxygen uptake (VO 2max ) is more closely correlated with CV risk factors than physical activity [2]. VO 2max , defned as the maximum rate at which oxygen can be utilized by the body during maximal exertion, is usually given in ml of consumed oxygen per kg of body weight per min and values range from <20 ml/kg/min in inactive adults to 70-94 ml/kg/min in athletes [3]. Factors afecting VO 2max include oxygen difusion capacity of the lungs, cardiac output, oxygen transport capacity of the blood, capillary density of the muscles, and muscular mitochondria mass [3]. VO 2max further depends on sex, age, genetics, body fat, medical conditions, and smoking [4–6]. Obesity was also found to correlate with lower maximal oxygen uptake and poorer cardiorespiratory ftness [7]. Longitudinal studies indicated that a low VO 2max is an independent and strong Hindawi Journal of Sports Medicine Volume 2019, Article ID 5317961, 8 pages https://doi.org/10.1155/2019/5317961